Does industrial intelligence improve resource misallocation? An empirical test based on China

被引:12
|
作者
Wang, Shijin [1 ]
Li, Mengya [1 ]
机构
[1] Jiangsu Normal Univ, 101 Shanghai Rd, Xuzhou, Jiangsu, Peoples R China
关键词
Industrial intelligence; Environmental pollution; Resource misallocation; Spatial Durbin model; Mediating effect model; PRODUCTIVITY; POLLUTION; INTENSITY;
D O I
10.1007/s11356-022-21085-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Resource misallocation has become a new threat to China's high-quality economic development, and industrial intelligence may play an important role in optimizing resource allocation. Using panel data of 30 Chinese provinces from 2010 to 2020, the relationship between industrial intelligence and resource misallocation is studied using the spatial Durbin (SDM) model. To further explore the indirect effect of environmental pollution on resource misallocation, the interaction term between industrial intelligence and environmental pollution is added to test how environmental pollution affects the relationship between industrial intelligence and resource. The research results show that industrial intelligence in China has significant spatial correlation. Local industrial intelligence can improve the local resource allocation, but the intelligence of neighboring industries will intensify the resource misallocation in the region. The interaction between environmental pollution and industrial intelligence also further affects resource allocation, and the interaction term can intensify local capital allocation to improve local labor allocation, and the interaction term in the surrounding area will also improve capital and labor misallocation in the region. Heterogeneous results find that industrial intelligence exacerbates resource misallocation in regions with insufficient capital allocation, and the mediating effect of environmental pollution is not significant. However, in places with excess capital allocation, the development of industrial intelligence helps improve resource misallocation, while the mediating effect of environmental pollution is also present, and industrial intelligence can improve resource misallocation through the indirect effect of improving environmental pollution. Therefore, the policies of local industrial development policies need to fully consider the resource allocation situation in the region. At the same time, it needs to smooth the capital circulation mechanism, reduce the cost of capital allocation, establish a sound employment mechanism, and improve labor misallocation.
引用
收藏
页码:77973 / 77991
页数:19
相关论文
共 50 条
  • [41] How does industrial intelligence affect total-factor energy productivity? Evidence from China's manufacturing industry
    Huang, Ruting
    Shen, Zhiyang
    Yao, Xin
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 188
  • [42] Does industrial agglomeration promote high-quality development of the Yellow River Basin in China? Empirical test from the moderating effect of environmental regulation
    Guo, Siliang
    Ma, Heng
    GROWTH AND CHANGE, 2021, 52 (04) : 2040 - 2070
  • [43] Does Artificial Intelligence Improve Export Technical Complexity Upgrade of Manufacturing Enterprises? Evidence from China
    Lin, Changqing
    Xiao, Shengpeng
    Tang, Pingjuan
    SAGE OPEN, 2024, 14 (03):
  • [44] Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test
    Yang, Xiaodong
    Wu, Haitao
    Ren, Siyu
    Ran, Qiying
    Zhang, Jinning
    STRUCTURAL CHANGE AND ECONOMIC DYNAMICS, 2021, 56 : 207 - 224
  • [45] Does the adoption of Internet digital technologies improve farmers' fertilizer management performance? An empirical analysis based on the China Rural Revitalization Survey
    Fan, Dongshou
    Gan, Weiming
    INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY, 2025, 23 (01)
  • [46] How does industrial transition drive low-carbon transition? Evidence from China's resource-based cities
    Lu, Shuo
    Liu, Qianqian
    Xia, Siyou
    Zhang, Wenzhong
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [47] Service sector agglomeration and industrial structure optimisation: evidence from China's resource-based cities
    Nie, Lei
    Wang, Yuanyuan
    Wu, Yanrui
    ASIAN-PACIFIC ECONOMIC LITERATURE, 2024, 38 (02) : 3 - 21
  • [48] Does Low-Carbon City Policy Improve Industrial Capacity Utilization? Evidence from a Quasi-Natural Experiment in China
    Han, Zhipeng
    Wang, Liguo
    Zhao, Feifei
    Mao, Zijun
    SUSTAINABILITY, 2022, 14 (17)
  • [49] How does the digital economy affect industrial eco-efficiency? Empirical evidence from China
    Liu, Lu
    Liu, Ming
    DATA SCIENCE IN FINANCE AND ECONOMICS, 2022, 2 (04): : 371 - 390
  • [50] Does central environmental inspection promote the industrial structure upgrading in China? An attention-based view
    Wang, Biying
    Ma, Chunhao
    Wu, Jianzu
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10